J.KOB — CS2 Stats

76561198076358891[U:1:116093163]

2,979Tracked matches47%Win rate2020Tracked since

6,993Hours in CS46Hrs last 2 wks

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating25,979Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)

CSDB Leaderboard#2237 of 23372 tracked

FaceitLevel 10 · 1,792 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	52.5%	52.0%
Shot accuracy	18.5%	13.7%
Kill/death ratio	1.09	1.08
Match win rate	47.2%	48.8%

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Performance scores

Aim83

Positioning56

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLWWLLWLLWL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.3

Aggression5.8

Utility5.7

Positioning5.6

Opening Duels2.6

Clutch3.0

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like Twistzz 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 48% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.3

Positioning5.6

Utility5.7

Mechanics5.7

Opening Duels2.6

Win Impact3.9

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time578ms−25ms

first ⅓ avg 603ms → last ⅓ avg 578ms

Headshot accuracy18.8%−0.7%

first ⅓ avg 19.5% → last ⅓ avg 18.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.16Best rating — anubis 13–6

13–0Biggest win — overpass

11Longest win streak

7–8In matches decided by ≤2 rounds

15Overtime games

Map breakdown

anubisBest map · 67% over 15ancientWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	23	15–8	65%	0.00
ancient	C	16	6–10	38%	0.01
mirage	C	16	7–9	44%	0.02
cache	C	15	6–9	40%	0.01
anubis	S	15	10–5	67%	0.01
dust2	—	4	1–3	25%	0.04
nuke	—	4	1–3	25%	-0.02
overpass	—	4	1–3	25%	0.04
train	—	1	0–1	0%	-0.02
vertigo	—	1	1–0	100%	-0.02
boulder	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

359,502Lifetime kills

1.09K/D · Top 50% of Level 10 players

10,211Matches

47.2%Match win rate

52.5%Headshot % · Top 50% of Level 10 players

18.5%Shot accuracy · Top 10% of Level 10 players

47,147MVPs

12,093Hours (in match)

8,051Bombs planted

8,415Bombs defused

Most-used weapons

AK-47143,962

AWP62,800

M4A4 / M4A1-S61,180

Desert Eagle34,637

P2000 / USP-S19,718

Glock-1813,632

Knife2,709

SSG 082,538

Galil AR2,361

FAMAS1,943

Lifetime map wins

17,306inferno

10,987dust2

9,058train

7,720nuke

4,979vertigo

2,689cbble

470bank

367lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,406Matches

51%Win rate

1.21Avg K/D

84.9ADR

42%Headshot %

Clutches & streaks

35%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	86	44%	1.07	17.7
Ancient	83	46%	1.12	17.9
Inferno	74	53%	1.14	16.7
Anubis	58	45%	1.10	17.5
Cache	39	69%	1.32	18.2
Nuke	26	42%	1.13	16.6
Overpass	22	45%	1.12	14.8
Dust2	9	44%	0.93	14.6

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.9%Headshot accuracy

42.3%Accuracy (enemy spotted)

44.0%Spray accuracy

75.7%Counter-strafing

10.4°Preaim

556msReaction time

32.8%T opening success

48.3%CT opening success

0.65Enemies flashed / flash

12.1%Flash assists

8.53HE damage / grenade

6.51Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 32.8422% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	0–5	-0.05	8%	29 Aug →
ancient	13–9	0.06	18%	28 Aug →
inferno	13–9	0.02	16%	28 Aug →
cache	0–9	-0.08	29%	27 Aug →
anubis	13–16	0.03	20%	27 Aug →
dust2	13–8	0.07	18%	26 Aug →
inferno	14–16	-0.01	19%	22 Aug →
ancient	5–13	-0.04	17%	21 Aug →
inferno	13–9	0.06	22%	20 Aug →
cache	11–13	-0.04	10%	20 Aug →
mirage	13–6	0.15	21%	20 Aug →
inferno	9–13	0.13	32%	20 Aug →
mirage	13–1	-0.06	7%	19 Aug →
anubis	7–13	-0.01	18%	19 Aug →
inferno	9–7	-0.22	18%	19 Aug →
inferno	13–10	0.09	25%	19 Aug →
anubis	4–13	-0.05	9%	19 Aug →
train	6–13	-0.02	22%	17 Aug →
ancient	5–13	-0.05	23%	17 Aug →
anubis	13–9	0.03	8%	17 Aug →
vertigo	13–11	-0.02	12%	13 Aug →
anubis	13–11	-0.03	18%	8 Aug →
mirage	8–13	0.05	17%	6 Aug →
cache	10–13	0.07	17%	2 Aug →
mirage	8–13	-0.01	16%	1 Aug →
ancient	10–13	0.06	22%	1 Aug →
cache	5–13	-0.06	47%	31 Jul →
inferno	13–9	-0.01	17%	31 Jul →
ancient	13–10	0.02	18%	31 Jul →
mirage	13–6	0.06	23%	31 Jul →
cache	13–10	0.04	16%	31 Jul →
cache	6–13	0.04	22%	31 Jul →
cache	11–13	-0.01	16%	26 Jul →
anubis	16–19	0.03	17%	26 Jul →
anubis	13–16	0.00	21%	25 Jul →
mirage	13–4	0.04	9%	25 Jul →
anubis	13–6	-0.01	28%	25 Jul →
inferno	13–7	0.01	16%	25 Jul →
mirage	13–4	0.10	31%	25 Jul →
dust2	2–13	-0.07	29%	24 Jul →
anubis	13–6	0.16	27%	24 Jul →
cache	16–14	0.04	26%	23 Jul →
cache	13–4	0.08	35%	23 Jul →
cache	13–10	0.03	18%	19 Jul →
nuke	13–10	0.02	26%	19 Jul →
mirage	13–10	-0.05	4%	19 Jul →
cache	13–6	-0.01	10%	18 Jul →
inferno	16–13	0.07	20%	17 Jul →
anubis	13–4	0.04	24%	17 Jul →
inferno	13–4	0.01	11%	17 Jul →
anubis	13–8	-0.02	10%	17 Jul →
dust2	15–15	0.09	29%	15 Jul →
ancient	8–13	0.03	24%	15 Jul →
boulder	12–12	-0.03	24%	12 Jul →
ancient	11–13	0.04	17%	10 Jul →
anubis	13–3	0.03	21%	10 Jul →
ancient	12–16	0.01	21%	10 Jul →
ancient	11–13	-0.01	22%	10 Jul →
cache	13–6	-0.05	25%	9 Jul →
inferno	13–10	-0.05	25%	9 Jul →
mirage	13–16	-0.01	21%	9 Jul →
cache	9–13	0.05	16%	9 Jul →
ancient	10–13	-0.04	24%	5 Jul →
mirage	16–14	0.04	15%	5 Jul →
inferno	13–8	0.03	30%	5 Jul →
ancient	7–13	-0.03	18%	5 Jul →
nuke	8–13	-0.02	16%	5 Jul →
ancient	13–4	0.14	28%	4 Jul →
ancient	13–6	-0.00	23%	3 Jul →
anubis	13–8	-0.06	16%	3 Jul →
inferno	13–11	0.01	29%	3 Jul →
nuke	8–13	-0.00	27%	3 Jul →
anubis	13–10	-0.03	15%	2 Jul →
inferno	11–13	-0.02	17%	1 Jul →
inferno	4–13	-0.03	18%	30 Jun →
ancient	16–12	-0.00	19%	28 Jun →
ancient	13–9	0.02	19%	28 Jun →
mirage	8–13	-0.01	20%	26 Jun →
inferno	13–16	-0.05	19%	26 Jun →
inferno	9–13	-0.03	18%	26 Jun →
overpass	6–13	-0.01	12%	26 Jun →
inferno	13–11	0.00	26%	25 Jun →
mirage	9–13	-0.04	18%	25 Jun →
overpass	9–13	0.05	21%	25 Jun →
overpass	5–13	0.02	14%	24 Jun →
cache	9–13	0.05	13%	22 Jun →
mirage	10–13	-0.00	25%	21 Jun →
cache	6–13	0.02	14%	18 Jun →
inferno	14–16	-0.02	23%	18 Jun →
mirage	9–13	-0.02	22%	18 Jun →
anubis	13–6	0.01	19%	18 Jun →
overpass	13–0	0.11	20%	18 Jun →
dust2	6–13	0.07	22%	17 Jun →
mirage	11–13	-0.01	34%	17 Jun →
mirage	16–19	0.01	21%	14 Jun →
inferno	13–6	0.01	19%	13 Jun →
ancient	7–13	-0.02	16%	13 Jun →
inferno	13–7	0.04	12%	13 Jun →
nuke	3–13	-0.08	17%	12 Jun →
inferno	19–16	0.02	10%	12 Jun →